# Infrastructure Engineer

> Maxana · New York, United States (Hybrid) · Full-time · Posted 2026-03-24

**Salary:** USD 130,000–240,000

**Workplace:** hybrid

## Description

Maxana is seeking an experienced Infrastructure Engineer for a confidential client — a fast-growing AI company. In this role you will build and maintain the platform layer supporting large-scale ML training, inference, and deployment. This is a high-impact role at the intersection of cloud infrastructure and ML systems.

**Key Responsibilities**

-   Build and maintain infrastructure supporting large-scale ML training and inference workloads
-   Work with GPU and compute infrastructure, distributed systems, and cloud-native platforms
-   Improve reliability, observability, and performance across the platform layer
-   Collaborate directly with senior engineers and product teams on architecture decisions
-   Own production reliability — monitoring, incident response, and proactive risk reduction
-   Develop and maintain internal tooling and automation to support engineering operations

## Requirements

-   5+ years of infrastructure or platform engineering experience in a production environment
-   Strong distributed systems background — experience with large-scale compute workloads preferred
-   Cloud-native infrastructure experience — AWS, GCP, or Azure; Docker and Kubernetes required
-   Familiarity with ML infrastructure a strong plus — training pipelines, inference serving, GPU workloads
-   Experience owning production reliability end to end

## Benefits

-   Competitive base salary ($130,000-$240,000) + equity
-   Medical, dental, and vision
-   Flexible paid time off
-   Learning and development stipend
-   Working at the forefront of AI infrastructure at scale

## Apply

[Apply at Maxana](https://apply.workable.com/maxana/j/8FC5EEF581/apply)

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